interpret

Fit interpretable models. Explain blackbox machine learning.

Recent spike this week

7d +0.01% +1 stars in 7d
30d Not tracked yet — first tracked 2026-09-08
90d Not tracked yet — first tracked 2026-09-08
Sep 8, 2026: 6,938 starsSep 9, 2026: 6,938 starsSep 10, 2026: 6,938 starsSep 11, 2026: 6,938 starsSep 12, 2026: 6,938 starsSep 13, 2026: 6,938 starsSep 14, 2026: 6,941 starsSep 15, 2026: 6,943 starsSep 16, 2026: 6,942 starsSep 17, 2026: 6,943 starsSep 18, 2026: 6,944 starsSep 19, 2026: 6,944 starsSep 20, 2026: 6,946 starsSep 21, 2026: 6,946 starsSep 22, 2026: 6,946 starsSep 23, 2026: 6,946 starsSep 24, 2026: 6,948 starsSep 25, 2026: 6,948 starsSep 26, 2026: 6,950 starsSep 27, 2026: 6,950 starsSep 28, 2026: 6,950 starsSep 29, 2026: 6,950 starsSep 30, 2026: 6,949 starsOct 1, 2026: 6,949 stars 6,9386,9446,950 Sep 8Oct 1

6,938 → 6,949 stars since Sep 8

6,938 Stars 789 Forks 45 Open issues
aiartificial-intelligencebiasblackboxdifferential-privacyexplainabilityexplainable-aiexplainable-mlgradient-boostingimlinterpretabilityinterpretable-aiinterpretable-machine-learninginterpretable-mlinterpretmlmachine-learningscikit-learntransparencyxai